scDD
R package to identify genes with differential distributions in single-cell RNA-seq
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
1 of 13 committers (7.7%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (9.0%) to scientific vocabulary
Keywords from Contributors
bioconductor-package
single-cell-rna-seq
human-cell-atlas
core-package
bioinformatics
bioconductor
proteomics
mass-spectrometry
gene
rna-seq
Last synced: 10 months ago
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JSON representation
Repository
R package to identify genes with differential distributions in single-cell RNA-seq
Basic Info
Statistics
- Stars: 32
- Watchers: 5
- Forks: 15
- Open Issues: 0
- Releases: 0
Created over 10 years ago
· Last pushed over 4 years ago
https://github.com/kdkorthauer/scDD/blob/master/
# scDD: An R package to identify differentially distributed genes in scRNA-seq
## Installation
The Bioconductor landing page is
[https://bioconductor.org/packages/scDD](https://bioconductor.org/packages/scDD).
To install, make sure you have the current version of Bioconductor, and
use the following commands:
```R
install.packages("BiocManager")
BiocManager::install("scDD")
```
## Quick Start
For examples and tips on using the package, please see the vignette PDF
[here](http://bioconductor.org/packages/devel/bioc/vignettes/scDD/inst/doc/scDD.pdf)
which you can alternatively bring up by typing
```R
browseVignettes("scDD")
```
after installing and loading the package into R.
## Getting Help
Please send bug reports and feature requests by sending a message to Bioconductor
Support at [https://support.bioconductor.org](https://support.bioconductor.org)
or by opening a new issue on
[this page](https://github.com/kdkorthauer/scDD/issues)
## Citation
Please cite the following publication if you use scDD in your work:
> Korthauer KD, Chu LF, Newton MA, Li Y, Thomson J, Stewart R,
Kendziorski C. A statistical approach for identifying differential
distributions in single-cell RNA-seq experiments. Genome Biology.
2016 Oct 25;17(1):222.
[https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y](https://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-1077-y)
You can obtain this citation within R by typing
```R
citation("scDD")
```
Owner
- Name: Keegan Korthauer
- Login: kdkorthauer
- Kind: user
- Location: Vancouver, BC | Canada
- Company: University of British Columbia and BC Children's Hospital Research Institute
- Website: kkorthauer.org
- Repositories: 34
- Profile: https://github.com/kdkorthauer
Assistant Professor, University of British Columbia | Investigator, BC Children's Hospital Research Institute
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| kdkorthauer | k****r@g****m | 179 |
| Keegan Korthauer | k****n@j****u | 16 |
| Nitesh Turaga | n****a@g****m | 12 |
| k.korthauer | k****r@b****8 | 12 |
| Herve Pages | h****s@f****g | 2 |
| Hervé Pagès | h****s@f****g | 2 |
| vobencha | v****n@r****g | 2 |
| vobencha | v****a@g****m | 2 |
| Hervé Pagès | h****b@g****m | 1 |
| Alan O'Callaghan | a****n@o****m | 1 |
| mtmorgan@fhcrc.org | m****n@f****g@b****8 | 1 |
| Martin Morgan | m****n@f****g | 1 |
| Kayla-Morrell | k****l@r****g | 1 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
-
Total downloads:
- bioconductor 22,055 total
- Total dependent packages: 1
- Total dependent repositories: 0
- Total versions: 3
- Total maintainers: 1
bioconductor.org: scDD
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions
- Homepage: https://github.com/kdkorthauer/scDD
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/scDD/inst/doc/scDD.pdf
- License: GPL-2
-
Latest release: 1.28.0
published about 2 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Average: 13.2%
Downloads: 39.7%
Maintainers (1)
Last synced:
over 1 year ago
Dependencies
DESCRIPTION
cran
- R >= 3.4 depends
- BiocParallel * imports
- EBSeq * imports
- S4Vectors * imports
- SingleCellExperiment * imports
- SummarizedExperiment * imports
- arm * imports
- fields * imports
- ggplot2 * imports
- grDevices * imports
- graphics * imports
- mclust * imports
- outliers * imports
- scran * imports
- stats * imports
- BiocStyle * suggests
- gridExtra * suggests
- knitr * suggests